Combinatorial sufficient conditions for graph rigidity and applications to random graphs
Michael Krivelevich, Alan Lew, Peleg Michaeli

TL;DR
This paper establishes new probabilistic thresholds and conditions for graph rigidity, especially in random graphs, and introduces a combinatorial criterion that generalizes existing methods for assessing rigidity.
Contribution
It provides sharp probabilistic thresholds for rigidity in random graphs and introduces a new combinatorial sufficient condition based on minimum codegree.
Findings
Random graphs $G(n,p)$ are whp $loor{c n p}$-rigid for $p extgreater 2 rac{ m log n}{n}$.
Random $r$-regular graphs are whp $d$-rigid for fixed $d extgreater 1$ and $r extgreater 501d$.
Contains whp a large rigid subgraph in $G(n,p)$ for certain $p$ regimes.
Abstract
A graph is called -rigid if, for a generic embedding of its vertices in , every edge-length preserving continuous motion of the vertices preserves the distances between all pairs of non-adjacent vertices as well. In this paper, we present several new results on the rigidity of random graphs. In particular, we show that there exists such that, for , the binomial random graph is with high probability (whp) -rigid. This is sharp up to the constant , and complements recent results of Peled and Peleg (in the regime ), and of Jord\'an, Liu, and Vill\'anyi (in the constant regime). Moreover, we show that for every fixed and , a random -regular graph is whp -rigid, and that for , the binomial random graph contains whp an $\lfloor…
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Taxonomy
TopicsStructural Analysis and Optimization · Advanced Materials and Mechanics · Computational Geometry and Mesh Generation
